Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:
- Longitudinal data analysis
- ANOVA, regression, logistic regression
- Bayesian data analyses
- Sample size and power estimation
- Statistical genomics
- Survival analyses
- Principal component and factor analysis
- Path modeling
- Structural equation modeling
- Cluster analysis
- Complex survey data analysis
- Statistical simulations and graphics
- Profile analysis
- Gene expression data analysis
- Mixed effects models
- Generalized Estimating Equations (GEE)
- Propensity Score Matching (PSM)
- Evaluation of medical tests for classification and prediction
- Estimation of median lethal doses (LD50)/quantal dose-response curves
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Biostatisticians & Epidemiologists
Lei Wang, MSc Statistician, Preventive Medicine Lei earned her M.Sc. degree in both statistics and biochemistry from Texas A&M University. She has been a statistics instructor in University of Memphis from 2011 to 2013. And since 2014, she has been working as a statistician in University of Tennessee Health Science Center (UTHSC). She has been involved in several clinical studies such as TARGIT (Treating Adults at Risk for weight Gain with Interactive Technology) and CANDLE (Conditions Affecting Neurocognitive Development and Learning in Early Childhood). She has been working collaboratively with researchers in different areas, and to provide statistical services in hypothesis testing, data analysis, regression model building, survey data analysis, report generation and interpretation.
Xinhua Yu, MD, PhD Assistant Professor of Epidemiology, University of Memphis Xinhua Yu, MD, PhD, MStat, is an Assistant Professor of Epidemiology at the School of Public Health, University of Memphis. He earned a medical degree in preventive medicine from Shanghai Medical University (now College of Medicine at Fudan University) in Shanghai, China, and a PhD in epidemiology and MStat in statistics from the University of Minnesota at Twin Cities campus. Dr. Yu has extensive experience in cardiovascular disease epidemiology, obesity, and physical activity. His recent research interests are clinical epidemiology especially cancer epidemiology.